Parallel Computing in Quantum Chemistry

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A01=Curtis L. Janssen
A01=Ida M. B. Nielsen
algorithm
Author_Curtis L. Janssen
Author_Ida M. B. Nielsen
Category=PHVQ
collective
Collective Communication Operations
communication
Communication Overhead
Communication Threads
Computation Threads
computational chemistry methods
Distributed Memory Computer
Distributed Memory Parallel Computer
efficiency
electronic structure calculations
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Execution Time
fock
Fock Matrix
Hartree Fock
imbalance
Integral Transformation
Linux Cluster12
load
Load Imbalance
matrix
Matrix Vector Multiplication
MP2 Theory
MPI
multi-core processor computing
Mutex Lock
Occupied Orbitals
Omp Parallel
operations
P2 P3 P4 P6 P7
Parallel Algorithm
parallel programming techniques
performance
Process Counts
Process Pi
quantum chemical algorithms
Receive Operation
scalable quantum chemistry software development
scientific software optimization
Superlinear Speedups
Total Execution Time

Product details

  • ISBN 9780367387501
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Sep 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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An In-Depth View of Hardware Issues, Programming Practices, and Implementation of Key Methods

Exploring the challenges of parallel programming from the perspective of quantum chemists, Parallel Computing in Quantum Chemistry thoroughly covers topics relevant to designing and implementing parallel quantum chemistry programs.

Focusing on good parallel program design and performance analysis, the first part of the book deals with parallel computer architectures and parallel computing concepts and terminology. The authors discuss trends in hardware, methods, and algorithms; parallel computer architectures and the overall system view of a parallel computer; message-passing; parallelization via multi-threading; measures for predicting and assessing the performance of parallel algorithms; and fundamental issues of designing and implementing parallel programs.

The second part contains detailed discussions and performance analyses of parallel algorithms for a number of important and widely used quantum chemistry procedures and methods. The book presents schemes for the parallel computation of two-electron integrals, details the Hartree–Fock procedure, considers the parallel computation of second-order Møller–Plesset energies, and examines the difficulties of parallelizing local correlation methods.

Through a solid assessment of parallel computing hardware issues, parallel programming practices, and implementation of key methods, this invaluable book enables readers to develop efficient quantum chemistry software capable of utilizing large-scale parallel computers.

Janssen, Curtis L.; Nielsen, Ida M. B.

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